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Director of Engineering (Flex Compute)

Crusoe Energy Systems · Sunnyvale, United States

Imported listingfull-timeabout 2 months ago

About The Role

Join our team as the Director of Engineering (Flex Compute) and take ownership of the curtailment orchestration and decision layer. You will lead the development of dynamic power management for oversubscription, design for safety, and integrate with our cloud control plane. You will also hire and lead a team, keeping headcount sublinear to fleet growth through automation.

  • Own the curtailment orchestration and decision layer, ensuring grid-signal ingestion, staged shedding, and power capping.
  • Land a utility-validated pilot, demonstrating fast ramp to setpoint, tight accuracy, and high-fidelity telemetry.
  • Deliver dynamic power management for oversubscription, enabling more GPUs per megawatt without customer-visible impact.
  • Working knowledge of data-center power systems: utility interconnection, switchgear/UPS/BESS, rack/PDU distribution, power telemetry, and GPU power management
  • 12+ years in software engineering, including 5+ leading engineering teams, ideally taking a system from 0→1 to production scale
  • A track record with safety-critical or physically-actuating systems, where a misfire has a bounded, designed-for worst case
  • Experience with energy markets or grid programs demand response, curtailable-load tariffs, ISO/RTO market signals (e.g., ERCOT, PJM, CAISO) or demonstrated speed to fluency in them
  • Deep experience with distributed control planes, orchestration, or fleet automation (e.g., Temporal, Kubernetes, Slurm)
  • A record of hiring senior engineers and running healthy operations for systems that must never fail silently
  • Strong build-vs-buy judgment and comfort deciding with incomplete data
  • Prior work in the energy sector: power generation, storage, utility software, or grid-scale controls
  • GPU cluster operations or AI cloud infrastructure experience
  • Background in GPU power/performance modeling, DVFS, or turning research prototypes into production systems
  • Experience with checkpoint/preemption for large training jobs or power-aware scheduling

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